|
|
|||
|
||||
OverviewRandom projection is a well-known AI calculation, which can be executed by neural organizations and trained in an effective way. Adaptive Regularize Parameter Selection it will regularize the features which are important and select a most suitable feature for a specific problem. The main goal is to reduce the computational cost of both classification and regression task by using Randomization Algorithm. It provides the best possible result to the high-dimensional optimization. It uses Multi layer neural network for performing linear and non linear function. Full Product DetailsAuthor: Landa Tejeswara Rao , Karakavalasa Durga AkhilPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 15.20cm , Height: 0.50cm , Length: 22.90cm Weight: 0.127kg ISBN: 9798505814994Pages: 88 Publication Date: 17 May 2021 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |